For the extremely high complexity of usual algorithms for sparse decomposition, a new group matching pursuit algorithm is presented based on a redundant dictionary with several orthonormal bases.
针对目前冗余字典下信号稀疏分解常用算法计算复杂度高的问题，提出一种分组匹配追踪算法。
A fast and efficient image denoising method is proposed based on Orthogonal matching pursuit which exploits the tree structure to reduce the complexity of the decomposition.
提出了一种基于分层树型结构正交匹配追踪算法的快速图像去噪方法。
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